Enabling distributed manufacturing through digital skills development
Conference paper
Daniel, J., Conway, E., Chaudhuri, A. and Adeel, U. 2024. Enabling distributed manufacturing through digital skills development. EDSI 2024 - THE SCIENCE OF RESPONSIBLE DECISIONS . European Decision Sciences Institute (EDSI).
| Authors | Daniel, J., Conway, E., Chaudhuri, A. and Adeel, U. |
|---|---|
| Type | Conference paper |
| Abstract | Manufacturing supply chains, benefiting all stakeholders, including suppliers, customers, and broader communities. However, there exists a significant gap in understanding the involvement of these stakeholders in enabling distributed manufacturing and its integration into the manufacturing value chain to address societal issues such as skills, employment, and inclusivity sustainably. To remain competitive, the manufacturing supply chain sector must embrace digital technologies. However, the digital skills gap in manufacturing highlights a disparity in digital competencies among workers and businesses, hindering the integration of critical technologies such as data analytics, visualisation, automation, and artificial intelligence. Surveying 135 UK manufacturing and engineering businesses revealed shortages in skills related to business analytics, web/app development, and artificial intelligence/machine learning/augmented reality (AI/ML/AR), robotics, and systems integration. Looking ahead, digital technologies such as additive manufacturing, AI/ML/AR, and robotics/process automation are perceived as vital skill sets for the UK economy in the next five years. This research aims to shed light on the current digital skill requirements in the manufacturing supply chain, explore anticipated future digital skill needs, and identify optimal approaches for enhancing digital skills in the future. |
| Keywords | Distributed manufacturing; digital skills; collaboration; co-creation |
| Year | 2024 |
| Conference | EDSI 2024 - THE SCIENCE OF RESPONSIBLE DECISIONS |
| Publisher | European Decision Sciences Institute (EDSI) |
| Web address (URL) | https://edsi.decisionsciences.org/flex/ |
| Accepted author manuscript | License File Access Level Open |
| Funder | Economic and Social Research Council |
| Publication process dates | |
| Deposited | 30 Oct 2024 |
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| 228 - final paper EDSI proceeding 24.pdf | ||
| License: CC BY 4.0 | ||
| File access level: Open | ||
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